Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Rotten Tomatoes, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Frottentomatoes.com%2Frottentomatoes" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Frottentomatoes.com%2Frottentomatoes" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with Rotten Tomatoes API.
Access Rotten Tomatoes resources via REST API
Manage developer tools data programmatically
Integrate Rotten Tomatoes into automated workflows
Query and filter Rotten Tomatoes records by parameters
Monitor Rotten Tomatoes operational status and events
GET STARTED
Patterns agents use Rotten Tomatoes API for, with concrete tasks.
★ Developer Tools Operations
The API provides 18 endpoints for developer tools operations.
Execute a primary operation against the Rotten Tomatoes
Data Retrieval and Monitoring
Query Rotten Tomatoes resources on a schedule to track changes, generate alerts, or feed downstream dashboards. Agents poll relevant endpoints, compare against previous state, and trigger actions when thresholds are crossed.
Poll the primary Rotten Tomatoes endpoint, compare response to last known state, and alert if changed
AI Agent Integration via Jentic
AI agents discover and call Rotten Tomatoes endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle apiKey tokens manually.
Search Jentic for 'rotten tomatoes', load the operation schema, and execute with Jentic-managed credentials
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Rotten Tomatoes by hand means appending your apikey query parameter to every request and handling the request plumbing yourself. Through Jentic you install once, import Rotten Tomatoes from the API Directory, store the API key once, and your agent calls it.
Permission scoping
Rotten Tomatoes takes its search and lookup terms in the request, so limit the agent to the operations it needs, such as searching movies or fetching box-office lists. You choose which operations it may call, and it can run only those.
Credential isolation
Your Rotten Tomatoes API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'search for a movie' or 'get current box-office movies', and Jentic returns the matching Rotten Tomatoes operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using Rotten Tomatoes API through Jentic.
What authentication does the Rotten Tomatoes use?
The Rotten Tomatoes uses an API key passed in the `apikey` query. Through Jentic, these credentials are stored encrypted in your Jentic One instance and injected at execution time, so raw secrets never enter the agent context.
What are the rate limits for the Rotten Tomatoes?
Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.
How do I use rotten tomatoes through Jentic?
Install the Jentic SDK with pip install jentic, authenticate through Jentic One, the self-hosted execution layer, then search for 'use rotten tomatoes'. Jentic returns the matching Rotten Tomatoes operation with its input schema. Load the schema and execute the call - credentials are injected automatically.
How many endpoints does the Rotten Tomatoes have?
The Rotten Tomatoes exposes 18 endpoints covering movie lists, dvd lists, detailed info operations.
Does the Rotten Tomatoes support pagination?
Pagination support depends on the specific endpoint. Check the endpoint parameters for page, limit, or offset fields. Through Jentic, the operation schema exposes all available parameters so agents can paginate automatically.
Can I limit what my agent is allowed to do with the Rotten Tomatoes API?
Yes. Because Jentic One is self-hosted by you, your own rules decide which Rotten Tomatoes operations and credentials the agent may use. You can allow only the operations it actually needs, such as searching movies or fetching box-office and movie lists, while withholding others like DVD lists or detailed info lookups. The API key is stored once by your instance and injected at execution time, so the agent can call only the operations you have permitted.
For Agents
Programmatically access Rotten Tomatoes resources. Covers 18 operations with apiKey authentication.
Use for: I need to integrate with Rotten Tomatoes, Find available developer tools operations, Get the current status of Rotten Tomatoes resources, List all records from Rotten Tomatoes
Not supported: Does not handle payments, communications, or crm - use for developer tools only.
Test our API services using I/O Docs. The API exposes 18 endpoints secured with apiKey authentication.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>